Quality/Safety Inspection

META-aivi uses AI models and OCR technology to constantly monitor gauge levels and panel indicator lights at the pumping station to ensure everything is operating correctly and within safe ranges.

Using AR glasses and our easy-to-operate wearable AI, operators are able to accurately identify PCB components and verify that they have been placed correctly.

The Anomaly Detection tool uses deep learning technology to teach the AI model sample images of “perfect” wafers.

The location, size and shape of cracks vary each time, and traditional optical inspection cannot accurately identify such unpredictable defects.

Using SolVision’s Instance Segmentation tool, irregular lines and multi-drilling defects are labeled in sample images to train the AI model.

Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.

Inspecting Safety Certification Marks. Solomon SolVision’s AI automated detection of defective certification marks .

Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.

A PCB can have dozens of different parts and configurations, and subtle differences may not be obvious to the human eye. Manual inspections are easily susceptible to missed or inaccurate detections and are hard to optimize